Carmona Echeverria, L.M., Haider, A., Freeman, A. et al. A critical evaluation of visual proportion of Gleason 4 and maximum cancer core length quantified by histopathologists. Sci Rep 10, 17177 (2020).

Avi Rosenfeld, David G Graham, Sarah Jevons, Jose Ariza, Daryl Hagan, Ash Wilson, Samuel J Lovat, Sarmed S Sami, Omer F Ahmad, Marco Novelli, Manuel Rodriguez Justo, Alison Winstanley, Eliyahu M Heifetz, Mordehy Ben-Zecharia, Uria Noiman, Rebecca C Fitzgerald, Peter Sasieni, Laurence B Lovat, Karen Coker, Wanfeng Zhao, Kathryn Brown, Beverley Haynes, Tara Nuckcheddy Grant, Massimiliano di Pietro, Eleanor Dewhurst, Bincy Alias, Leanne Mills, Caroline Wilson, Elizabeth Bird-Lieberman, Jan Bornschein, Yean Lim, Kareem Shariff, Roberto Cayado Lopez, Myrna Udarbe, Claire Shaw, Glynis Rose, Ian Sargeant, M Al-Izzi, Roisin Schimmel, Elizabeth Green, Morgan Moorghen, Reshma Kanani, Mariann Baulf, Jayne Butcher, Adil Butt, Steve Bown, Gideon Lipman, Rami Sweis, Vinay Sehgal, Matthew Banks, Rehan Haidry, John Louis-Auguste, Darina Kohoutova, Sarah Kerr, Victor Eneh, Nigel Butter, Haroon Miah, Rommel Butawan, Grace Adesina, Sabrina Holohan, Joan Idris, Nick Hayes, Shajahan Wahed, Nelson Kath Houghton, Marc Hopton, Anne Eastick, Debasis Majumdar, Kassem Manuf, Lyndsey Fieldson, Helen Bailey, Jacobo Fernandez-Sordo Ortiz, Mina Patel, Suzanne Henry, Samantha Warburton, Jonathan White, Lisa Gadeke, Beverley Longhurst, Richmond Abeseabe, Peter Basford, Rupam Bhattacharyya, Scott Elliot, Roisin Bevan, Carly Brown, Philippa Laverick, Gayle Clifford, Anita Gibbons, Julie Ingmire, Abdullah Mawas, Jacquelyn Harvey, Sharon Cave,
Development and validation of a risk prediction model to diagnose Barrett's oesophagus (MARK-BE): a case-control machine learning approach, The Lancet Digital Health, Volume 2, Issue 1, 2020, Pages e37-e48

A. Rosenfeld, Two Adaptive Communication Methods for Multi-Robot Collision Avoidance, accepted to Robotica 37:5, 851-867 (2019)

A. Rosenfeld, A. Richardson, Explainability in Human-Agent Systems, accepted to the Journal of Autonomous Agents and Multi-agent Systems JAAMAS, 33(6): 673-705 (2019)

A. Rosenfeld, R. Illuz, D. Gottesman, M. Last, Using Discretization for Extending the Set of Predictive Features, EURASIP Journal on Advances in Signal Processing. 2018:7

A. Rosenfeld, S. Sina, D. Sarne, O. Avidov, S. Kraus, A Data Mining Study of WhatsApp Usage Patterns and Prediction Models without Message Content, Demographic Research Journal, 39: 647-670 (2018)

V. Sehgal, A. Rosenfeld, D. Graham, R. Bisschops, K. Ragunath, M. Rodriguez-Justo, M. Novelli, M. Banks, R. Haidry, G. Lipman and L. Lovat, Machine Learning Creates a Simple Endoscopic Classification System that Improves Dysplasia Detection in Barrett’s Oesophagus Amongst Non-Expert Endoscopists, Gastroenterology Research and Practice:(1):1-9, 2018,

Y. Hacohen-Kerner, A. Rosenfeld, A. Sabag, M. Tzidkani, Topic-based Classification through Unigram Unmasking, Procedia Computer Science, Volume 126, 2018, 69-76.

S. Barrett, A. Rosenfeld, S. Kraus, and P. Stone, Making Friends on the Fly: Cooperating with New Teammates, Artificial Intelligence Journal (AIJ). 242: 132-171 (2017)

S. Stein, E. Gerding, A. Nedea, A. Rosenfeld, N. Jennings, Bid2Charge: Market User Interface Design for Electric Vehicle Charging, Journal of Artificial Intelligence Research (JAIR). 59: 175-227 (2017)

S. Stein, E. Gerding, A. Nedea, A. Rosenfeld, N. Jennings, Evaluating Market User Interfaces for Electric Vehicle Charging using Bid2Charge. IJCAI 2017, (Acceptance Rate 25%), 4939-4943